Filters: Tags: model uncertainty (X) > Categories: Publication (X)
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Parent Project: Range-Wide Climate Vulnerability Assessment for Threatened Bull Trout Publication Abstract: Forecasts of species distributions under future climates are inherently uncertain, but there have been few attempts to describe this uncertainty comprehensively in a probabilistic manner. We developed a Monte Carlo approach that accounts for uncertainty within generalized linear regression models (parameter uncertainty and residual error), uncertainty among competing models (model uncertainty), and uncertainty in future climate conditions (climate uncertainty) to produce site-specific frequency distributions of occurrence probabilities across a species’ range. We illustrated the method by forecasting suitable...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Fish,
Northwest CASC,
Rivers, Streams and Lakes,
Salvelinus confluentus,
Abstract: The accuracy of streamflow forecasts depends on the uncertainty associated with future weather and the accuracy of the hydrologic model that is used to produce the forecasts. We present a method for streamflow forecasting where hydrologic model parameters are selected based on the climate state. Parameter sets for a hydrologic model are conditioned on an atmospheric pressure index defined using mean November through February (NDJF) 700-hectoPascal geopotential heights over northwestern North America [Pressure Index from Geopotential heights (PIG)]. The hydrologic model is applied in the Sprague River basin (SRB), a snowmelt-dominated basin located in the Upper Klamath basin in Oregon. In the SRB, the majority...
Categories: Publication;
Types: Citation;
Tags: Upper Klamath basin,
atmospheric circulation indices,
ensemble streamflow prediction,
model calibration,
model uncertainty,
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